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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4593
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    INDEX
    Explanations

    phrases related to the impact of various factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate cause-and-effect relationships related to impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.75
    aniel
    -0.71
    escription
    -0.68
    haps
    -0.68
    Nat
    -0.66
    Cola
    -0.65
    assian
    -0.65
    rers
    -0.64
    Jess
    -0.64
    fw
    -0.63
    POSITIVE LOGITS
     impacts
    0.80
     impact
    0.77
    shore
    0.70
     steroids
    0.69
     landsl
    0.67
     climate
    0.65
     influences
    0.65
    erous
    0.64
     factor
    0.64
     environmental
    0.62
    Activations Density 0.261%

    No Known Activations